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Paper Abstract and Keywords
Presentation 2016-02-25 13:55
A Study on Computational Complexity Reduction of Orthogonal Precoding for Cognitive Radio Systems
Hikaru Kawasaki, Masaya Ohta, Katsumi Yamashita (Osaka Pref. Univ.) CAS2015-81 CS2015-86
Abstract (in Japanese) (See Japanese page) 
(in English) その研究内容はこちらになりまして、信号処理アルゴリズムという理論面とそのFPGAによる実装面の両方の研究を行っています。

これによって有限である周波数資源を効率的に利用し，トラヒック増大の問題を解決したいと考えています。

Orthogonal Precoding is a method to modify data symbols for sidelobe suppression of OFDM signal at chosen frequencies, which can create spectral notches necessary for cognitive radio systems. This method can achieve both sidelobe suppression performance and ideal error rate although data rate is reduced a little. However, its computational complexity is enormous because a huge precoder matrix is used in the precoding and the decoding. This paper proposes a matrix decomposition method for the precoder matrix in order to reduce the computational complexity. Numerical experiments show that the proposed method can drastically reduce the computational complexity without performance degradations, compared with the conventional Orthogonal Precoding.
Keyword (in Japanese) (See Japanese page) 
(in English) sidelobe suppression / precoding / Orthogonal Precoding / singular-value decomposition / cognitive radio / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 461, CS2015-86, pp. 7-11, Feb. 2016.
Paper # CS2015-86 
Date of Issue 2016-02-18 (CAS, CS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF CAS2015-81 CS2015-86

Conference Information
Committee CS CAS  
Conference Date 2016-02-25 - 2016-02-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Laforet Nanki-Shirahama Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Network Processor, Signal Processing Circuits for Communication, Wireless LAN/PAN, etc. 
Paper Information
Registration To CS 
Conference Code 2016-02-CS-CAS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Computational Complexity Reduction of Orthogonal Precoding for Cognitive Radio Systems 
Sub Title (in English)  
Keyword(1) sidelobe suppression  
Keyword(2) precoding  
Keyword(3) Orthogonal Precoding  
Keyword(4) singular-value decomposition  
Keyword(5) cognitive radio  
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Keyword(7)  
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1st Author's Name Hikaru Kawasaki  
1st Author's Affiliation Osaka Prefecture University (Osaka Pref. Univ.)
2nd Author's Name Masaya Ohta  
2nd Author's Affiliation Osaka Prefecture University (Osaka Pref. Univ.)
3rd Author's Name Katsumi Yamashita  
3rd Author's Affiliation Osaka Prefecture University (Osaka Pref. Univ.)
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Speaker Author-1 
Date Time 2016-02-25 13:55:00 
Presentation Time 25 minutes 
Registration for CS 
Paper # CAS2015-81, CS2015-86 
Volume (vol) vol.115 
Number (no) no.460(CAS), no.461(CS) 
Page pp.7-11 
#Pages 5 
Date of Issue 2016-02-18 (CAS, CS) 

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